Nothing
## ---- include = FALSE----------------------------------------------------
knitr::opts_chunk$set(
echo = TRUE,
message = FALSE,
warning = FALSE,
collapse = TRUE,
comment = "#>"
)
## ------------------------------------------------------------------------
library(labelmachine)
dict <- new_lama_dictionary(
sub = c(eng = "English", mat = "Mathematics", gym = "Gymnastics"),
lev = c(b = "Basic", a = "Advanced"),
result = c(
"1" = "Good",
"2" = "Passed",
"3" = "Not passed",
"4" = "Not passed",
NA_ = "Missed",
"0" = NA
)
)
dict
## ------------------------------------------------------------------------
dict_new <- lama_rename(
dict,
subject_new = sub,
level_new = lev,
result_new = result
)
dict_new
## ------------------------------------------------------------------------
dict_new <- lama_rename_(
dict,
old = c("sub", "lev", "result"),
new = c("subject_new", "level_new", "result_new")
)
dict_new
## ------------------------------------------------------------------------
dict_new <- lama_select(dict, sub, lev)
dict_new
## ------------------------------------------------------------------------
dict_new <- lama_select_(dict, c("sub", "lev"))
dict_new
## ------------------------------------------------------------------------
dict_new <- lama_mutate(
.data = dict,
teacher = c(jane = "Jane Doe", john = "John Doe"),
sub = c(geo = "Geography", sub),
lev = NULL,
result = c(P = "Passed", F = "Failed")
)
dict_new
## ------------------------------------------------------------------------
dict_new <- lama_mutate_(
.data = dict,
key = "result",
translation = c(P = "Passed", F = "Failed")
)
dict_new
## ------------------------------------------------------------------------
dict_a <- new_lama_dictionary(a = c(a = "A"), x = c(x = "A"), y = c(y = "A"))
dict_b <- new_lama_dictionary(b = c(b = "B"), x = c(x = "B"), z = c(z = "B"))
dict_c <- new_lama_dictionary(c = c(c = "C"), z = c(x = "B"))
## ------------------------------------------------------------------------
dict_new <- lama_merge(dict_a, dict_b, dict_c, show_warnings = FALSE)
dict_new
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